People Data Analyst - (Remote - US)

Jobgether; United States; Remote; USD 130,000 - 154,000; Full time

Job summary

Jobgether is seeking a People Data Analyst to drive data-informed decisions for a client in the United States. This fully remote role involves building self-service reporting capabilities and providing insights to enhance the employee experience. The ideal candidate will leverage data analytics skills and collaborate with various teams to ensure data accessibility and quality.

Benefits

Competitive salary

Target bonus and equity

Comprehensive benefits package

Remote work flexibility

Collaborative work environment

Qualifications

• Experience with data analysis and visualization tools, preferably Looker.
• Proven experience with Workday reporting and building data models.
• Strong attention to detail and ability to meet tight deadlines.

Responsibilities

• Develop and maintain self-service reporting and analytics capabilities.
• Respond to ad hoc reporting requests and maintain report catalogs.
• Collaborate with teams to improve data quality in HR systems.

Skills

Data analysis

Data visualization

SQL

Attention to detail

Customer service orientation

Tools

Looker

Workday

Job description

Description

Jobgether has ALL remote jobs globally. We match you to roles where you're most likely to succeed, and provide feedback on every application to help you learn. No more guesswork, application black holes, or recruiter ghosting in your job search.

For one of our clients, we are looking for a People Data Analyst, remotely from United States.

As a People Data Analyst, you will play a pivotal role in driving data-informed decisions to support the people-related functions of the organization. You'll be responsible for building and maintaining self-service reporting capabilities and providing valuable insights to improve the overall employee experience. In this role, you will collaborate closely with people leaders and other teams to ensure people data is accessible, actionable, and aligned with strategic business objectives. The ideal candidate will have experience in data analytics and reporting, strong attention to detail, and a passion for using data to solve complex problems.

Accountabilities:

• Develop and maintain self-service reporting and analytics capabilities using tools like Looker.
• Respond to ad hoc reporting requests and special project needs, including executive dashboards.
• Maintain and audit custom report catalogs, ensuring the accuracy of dashboards across various HR platforms (Workday, Greenhouse, and Qualtrics).
• Design, own, and deliver complex reporting solutions that provide insights into key people-related challenges.
• Collaborate with teams to improve data quality and consistency in HR systems.
• Stay up to date with key HR platform feature releases and their potential impact on analytics functionality.
• Lead testing and analysis of new reporting and analytics features.
• Work closely with cross-functional teams, including data engineering and platform teams, to ensure smooth integration and functionality.

Requirements

• Experience with data analysis and visualization tools, with a preference for Looker.
• Proven experience with Workday reporting and building data models from complex sources.
• Proficient in SQL and applying foundational statistical methods to data analysis.
• Ability to translate business requirements into actionable insights through dashboards and reports.
• Strong attention to detail and ability to meet tight deadlines in a cross-functional environment.
• Excellent customer service orientation, with a track record of delivering accurate results.

Benefits

• Competitive salary range of $130,900—$154,000 USD (depending on location).
• Target bonus, target equity, and comprehensive benefits package, including medical, dental, vision, and 401(k).
• Remote work flexibility from anywhere in the United States.
• Opportunity to contribute to the growth of a rapidly evolving company.
• A collaborative and dynamic work environment with high-caliber colleagues.

#LI-CL1